| Estimating efficiency in automatic milking systems. | |
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MedLine Citation:
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PMID: 22281358 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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Milking data of 34 single automatic milking system (AMS) units on 29 Galician dairy farms were analyzed to determine the system capacity in each farm under actual working conditions. Number of cows, milk yield, milkings per cow per day, actual milking time, rejected milking time, cleaning time, and machine downtime were used to determine the number of cows milked per AMS unit to obtain the optimal values of milkings per cow and milk production. Multiple linear regression data analysis was used to model the linear relationship between the dependent variable, milk yield per AMS per year, and the predictor variables: number of cows per AMS, milkings per cow per day, milk flow rate, and rejections per AMS per year. An AMS unit milked 52.7±9.0 cows daily at 2.69±0.28 milkings per cow, with a total milking downtime of 1,947±978h/yr and a milk yield of 549,734±126,432kg/yr. The predictor variables cow and milk flow rate had a greater level of influence on the milk yield per AMS than milkings per cow and rejections, and explained the 87% of the variation. The AMS in Galician dairy farms could facilitate an increase of 16±8.5 cows per AMS without impairing milking performance; in this way, the quantity of milk obtained per robot annually could be increased (185,460±137,460kg). This would make it possible to recoup the cost of the system earlier. In the present situation, the daily milking throughput could be maximized at 2.4 to 2.6 milkings per cow. |
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Authors:
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A Castro; J M Pereira; C Amiama; J Bueno |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of dairy science Volume: 95 ISSN: 1525-3198 ISO Abbreviation: J. Dairy Sci. Publication Date: 2012 Feb |
Date Detail:
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Created Date: 2012-01-27 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 2985126R Medline TA: J Dairy Sci Country: United States |
Other Details:
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Languages: eng Pagination: 929-36 Citation Subset: IM |
Copyright Information:
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Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Agroforestry Engineering, University of Santiago de Compostela, 27002 Lugo, Spain. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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